61
TITLE: Going Back to Basics on Volumetric Segmentation of the Lungs in CT: A Fully Image Processing Based Technique
AUTHORS: Ana Catarina Oliveira; Inês Domingues ; Hugo Duarte; João A M Santos; Pedro H Abreu ;
PUBLISHED: 2019, SOURCE: Pattern Recognition and Image Analysis - 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1-4, 2019, Proceedings, Part II, VOLUME: 11868
INDEXED IN: DBLP Unpaywall
IN MY: DBLP
62
TITLE: MNAR Imputation with Distributed Healthcare Data
AUTHORS: Pereira, RC ; Santos, Miriam Seoane ; Rodrigues, PP ; Abreu, PH ;
PUBLISHED: 2019, SOURCE: 19th EPIA Conference on Artificial Intelligence, EPIA 2019 in PROGRESS IN ARTIFICIAL INTELLIGENCE, PT II, VOLUME: 11805
INDEXED IN: Scopus WOS DBLP CrossRef: 2 Unpaywall
IN MY: DBLP
63
64
TITLE: Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts
AUTHORS: Marta Mercier; Santos, Miriam Seoane ; Pedro H Abreu ; Carlos Soares ; Jastin Pompeu Soares; João Santos ;
PUBLISHED: 2018, SOURCE: 17th International Symposium on Intelligent Data Analysis, IDA 2018 in Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, 's-Hertogenbosch, The Netherlands, October 24-26, 2018, Proceedings, VOLUME: 11191
INDEXED IN: Scopus DBLP CrossRef: 4
IN MY: DBLP
65
TITLE: BI-RADS CLASSIFICATION OF BREAST CANCER: A NEW PRE-PROCESSING PIPELINE FOR DEEP MODELS TRAINING  Full Text
AUTHORS: Inês Domingues ; Abreu, PH ; Santos, J ;
PUBLISHED: 2018, SOURCE: 25th IEEE International Conference on Image Processing (ICIP) in 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
INDEXED IN: Scopus WOS DBLP CrossRef: 17
66
TITLE: Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches  Full Text
AUTHORS: Santos, Miriam Seoane ; Soares, JP; Abreu, PH ; Araujo, H; Santos, J ;
PUBLISHED: 2018, SOURCE: IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, VOLUME: 13, ISSUE: 4
INDEXED IN: Scopus WOS DBLP CrossRef: 260
67
TITLE: Denial of Service Attacks: Detecting the Frailties of Machine Learning Algorithms in the Classification Process
AUTHORS: Ivo Frazão; Pedro Henriques Abreu ; Tiago Cruz; Hélder Araújo; Paulo Simões;
PUBLISHED: 2018, SOURCE: Critical Information Infrastructures Security - 13th International Conference, CRITIS 2018, Kaunas, Lithuania, September 24-26, 2018, Revised Selected Papers, VOLUME: 11260
INDEXED IN: DBLP
IN MY: DBLP
68
TITLE: Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification
AUTHORS: Inês Domingues ; José Pereira Amorim; Pedro H Abreu ; Hugo Duarte; João A M Santos;
PUBLISHED: 2018, SOURCE: 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018
INDEXED IN: DBLP
IN MY: DBLP
69
TITLE: Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification
AUTHORS: Inês Domingues ; Jose P Amorim; Pedro H Abreu ; Hugo Duarte; Joao Santos ;
PUBLISHED: 2018, SOURCE: Proceedings of the International Joint Conference on Neural Networks, VOLUME: 2018-July
INDEXED IN: Scopus CrossRef: 24
70
TITLE: Exploring the effects of data distribution in missing data imputation
AUTHORS: Pompeu Soares, J; Santos, Miriam Seoane ; Henriques Abreu, P ; Araújo, H; Santos, J ;
PUBLISHED: 2018, SOURCE: 17th International Symposium on Intelligent Data Analysis, IDA 2018 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 11191 LNCS
INDEXED IN: Scopus CrossRef: 4
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